Abstract: An anonymous trading system (FIG. 1) identifies the best bids and offers (QuoteSubmit, FIG. 3) from those counterparties (WS A1a1) with which each party (WS A1b1, WS A1b2, . . . . WSA2a2) is currently eligible to deal, while maintaining the anonymity of the potential counterparty and the confidentiality of any specific credit limitations imposed by the anonymous potential counterparty. To that end, each bid or offer (QuoteSubmit, FIG. 3) for a particular type of financial instrument is prescreened by the system for compatibility with limited credit information (for example, a one bit flag indicating whether a predetermined limit has already been exceeded) and an anonymous “Dealable” price (24,26) is calculated for each of the traders (WS A1b, . . . WS A2a) dealing with that particular financial instrument.

Abstract: For each quote entered into a computerized anonymous trading system, the system determines if it is waiting to be “hit” (would be matched with the first hit of a predetermined size) at a substantial number of trading floors, and if so, notifies the trader originating the quote. The substantial number of floors is preferably expressed as greater than a predetermined percentage of the available trading partners with whom credit has been established on a bilateral basis, and is preferably greater than 25%. In an alternate embodiment, the system provides a graphical display to the market maker originating a particular quote indicating how many trading floors are poised to hit that particular quote, and/or a numeric display indicating a price that would be Hittable by a predetermined number or percentage of available trading partners.

Abstract: An anonymous trading system identifies the best bids and offers from those counterparties with which each party is currently eligible to deal, while maintaining the anonymity of the potential counterparty and the confidentiality of any specific credit limitations imposed by the anonymous potential counterparty. To that end, each bid or offer for a particular type of financial instrument is prescreened by the system for compatibility with limited credit information (for example, a one bit flag indicating whether a predetermined limit has already been exceeded) and an anonymous “Dealable” price is calculated for each of the traders dealing with that particular financial instrument.

Abstract: An anonymous trading system identifies the best bids and offers from those counterparties with which each party is currently eligible to deal, while maintaining the anonymity of the potential counterparty and the confidentiality of any specific credit limitations imposed by the anonymous potential counterparty. To that end, each bid or offer for a particular type of financial instrument is prescreened by the system for compatibility with limited credit information (for example, a one bit flag indicating whether a predetermined limit has already been exceeded) and an anonymous “Dealable” price is calculated for each of the traders dealing with that particular financial instrument.

Abstract: An anonymous trading system (FIG. 1) identifies the best bids and offers (QuoteSubmit, FIG. 3) from those counterparties (WS A1a1) with which each party (WS A1fb1, WS A1b2, ... WS A2a2) is currently eligible to deal, while maintaining the anonymity of the potential counterparty and the confidentiality of any specific credit limitations imposed by the anonymous potential counterparty. To that end, each bid or offer (QuoteSubmit, FIG. 3) for a particular type of financial instrument is prescreened by the system for compatibility with limited credit information (for example, a one bit flag indicating whether a predetermined limit has already been exceeded) and an anonymous “Dealable” price (24,26) is calculated for each of the traders (WS A1b, . . . WS A2a) dealing with that particular financial instrument.

Abstract: An anonymous trading system (FIG. 1) identifies the best bids and offers (QuoteSubmit, FIG. 3) from those counterparties (WS A1a1) with which each party (WS A1b1, WS A1b2, . . . . WSA2a2) is currently eligible to deal, while maintaining the anonymity of the potential counterparty and the confidentiality of any specific credit limitations imposed by the anonymous potential counterparty. To that end, each bid or offer (QuoteSubmit, FIG. 3) for a particular type of financial instrument is prescreened by the system for compatibility with limited credit information (for example, a one bit flag indicating whether a predetermined limit has already been exceeded) and an anonymous “Dealable” price (24,26) is calculated for each of the traders (WS A1b, . . . WS A2a) dealing with that particular financial instrument.

Abstract: An anonymous trading system (FIG. 1) identifies the best bids and offers (QuoteSubmit, FIG. 3) from those counterparties (WS Alal ) with which each party (WS A1b1, WS A1b2, . . . WSA2a2) is currently eligible to deal, while maintaining the anonymity of the potential counterparty and the confidentiality of any specific credit limitations imposed by the anonymous potential counterparty. To that end, each bid or offer (QuoteSubmit, FIG. 3) for a particular type of financial instrument is prescreened by the system for compatibility with limited credit information (for example, a one bit flag indicating whether a predetermined limit has already been exceeded) and an anonymous “Dealable” price (24,26) is calculated for each of the traders (WS A1b, . . . WS A2a) dealing with that particular financial instrument.

Abstract: An anonymous trading system (FIG. 1) identifies the best bids and offers (QuoteSubmit, FIG. 3) from those counterparties (WS A1a1) with which each party (WS A1b1, WS A1b2, . . . WSA2a2) is currently eligible to deal, while maintaining the anonymity of the potential counterparty and the confidentiality of any specific credit limitations imposed by the anonymous potential counterparty. To that end, each bid or offer (QuoteSubmit, FIG. 3) for a particular type of financial instrument is prescreened by the system for compatibility with limited credit information (for example, a one bit flag indicating whether a predetermined limit has already been exceeded) and an anonymous “Dealable” price (24,26) is calculated for each of the traders (WS A1b, . . . WS A2a) dealing with that particular financial instrument.

Abstract: For each quote entered into a computerized anonymous trading system, the system determines if it is waiting to be “hit” (would be matched with the first hit of a predetermined size) at a substantial number of trading floors, and if so, notifies the trader originating the quote. The substantial number of floors is preferably expressed as greater than a predetermined percentage of the available trading partners with whom credit has been established on a bilateral basis, and is preferably greater than 25%. In an alternate embodiment, the system provides a graphical display to the market maker originating a particular quote indicating how many trading floors are poised to hit that particular quote, and/or a numeric display indicating a price that would be Hittable by a predetermined number or percentage of available trading partners.

Abstract: An improved multiple order facility for a computerized trading system in which a first trader submits a plurality of orders for display and acceptance by other traders, including a first subsystem which permits the first trader to simultaneously generate a plurality of orders, and a second subsystem which displays the orders at computer terminals of the other traders to whom the orders were sent. Using the first subsystem, the first trader selects one or more financial instruments associated with a respective one of the orders from a displayed list of related financial instruments, selects a common quantity to be applied to each of the orders, and selects, for each order, a respective price at which the first trader is willing to buy or sell the financial instrument associated with that order. Each of the orders is then sent to a plurality of other trading using the computerized trading system.

Abstract: For each quote entered into a computerized anonymous trading system, the system determines if it is waiting to be “hit” (would be matched with the first hit of a predetermined size) at a substantial number of trading floors, and if so, notifies the trader originating the quote. The substantial number of floors is preferably expressed as greater than a predetermined percentage of the available trading partners with whom credit has been established on a bilateral basis, and is preferably greater than 25%. In an alternate embodiment, the system provides a graphical display to the market maker originating a particular quote indicating how many trading floors are poised to hit that particular quote, and/or a numeric display indicating a price that would be Hittable by a predetermined number or percentage of available trading partners.

Abstract: An anonymous trading system (FIG. 1) identifies the best bids and offers (QuoteSubmit, FIG. 3) from those counterparties (WS Alal ) with which each party (WS A1b1, WS A1b2, . . . WSA2a2) is currently eligible to deal, while maintaining the anonymity of the potential counterparty and the confidentiality of any specific credit limitations imposed by the anonymous potential counterparty. To that end, each bid or offer (QuoteSubmit, FIG. 3) for a particular type of financial instrument is prescreened by the system for compatibility with limited credit information (for example, a one bit flag indicating whether a predetermined limit has already been exceeded) and an anonymous "Dealable" price (24,26) is calculated for each of the traders (WS A1b, . . . WS A2a) dealing with that particular financial instrument.

Abstract: A method for vocalizing information from an electronic brokerage system (EBS) used in international currency exchange incorporates a specialized grammar to emulate the interpersonal trading style and vernacular used by foreign currency brokers catering to the international banking industry. Used in conjunction with the screen display of an EBS, the vocalizing method makes the system easier for a trader to use by emphasizing information content. The vocalizing method optimizes redundancy of data available to the user to minimize both the ambiguity of data to and the cognitive effort of the user. The vocalizing method chooses what data should be vocalized, when the data should be vocalized, and, in what manner the data should be vocalized. For example, a long form of the offer and bid prices is initially vocalized which includes both figure and pips data, but thereafter only the pips are vocalized. Three categories of messages each provide different data to the system user.